We have integrated several open source AI models to automate our customer service and service delivery. How do we prove to a buyer's technology due diligence team that our AI-powered operations do not violate third party IP rights or expose us to future liabilities?

Question

Tyler Smith · Accepted Answer

A sophisticated buyer will heavily scrutinize any custom AI workflows during due diligence to ensure they do not inherit massive legal liabilities or copyright infringement claims. If your AI-powered operations rely on open source models or unverified data sources, you must clean up your technology stack during your exit runway.

Start by assigning clear accountability for your technology compliance on your Accountability Chart. Typically, this sits within the Integrator or Chief Technology Officer seat. They must conduct a comprehensive audit of all AI tools, APIs, and data pipelines used in your daily operations.

Document your AI infrastructure within your corporate knowledge base. You must show clear evidence that your systems use secure, enterprise-grade APIs where data is not used to train public models. Ensure your customer contracts clearly state that you own the outputs of your AI-driven services and have the legal right to use their data in your proprietary workflows.

By presenting a structured, audited AI registry to the buyer's tech team, you show that your operations are legally clean and highly advanced. This transforms what could have been perceived as a high-risk liability into a highly valuable, transferable asset that justifies a premium valuation multiple.